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Petrophysical interpretation and reservoir characterisation on Proterozoic shales in NDI Carrara 1, Northern Territory

The Proterozoic succession in the NDI Carrara 1 drill hole, Northern Territory, consists predominantly of tight shales, siltstones, and calcareous clastic rocks. As part of Geoscience Australia’s Exploring for the Future program, this study aims to derive porosity, permeability and gas content from both laboratory testing and well log interpretation from machine learning approaches, to improve the Proterozoic shale gas reservoir characterisation.


The Proterozoic Lawn Hill Formation was divided into four chemostratigraphic packages. The middle two packages were further divided into seven internal units according to principal component analysis and self-organising map clustering on well logs and inorganic geochemical properties. Artificial neural networks were then applied to interpret the mineral compositions, porosity and permeability from well logs, density and neutron-density crossplot interpretations. Gas content was estimated from the interpreted porosity, gas saturation, total organic carbon and clay contents.


Petrophysical interpretation results are summarised for all chemostratigraphic packages and units. Package 2 (1116–1430.1 m) has the highest potential among the four chemostratigraphic packages. P2U1 (1116–1271 m) and P2U3 (1335.5–1430.1 m) units have the most favourable petrophysical properties for organic-rich shales with the average total gas contents of 1.25 cm3/g and 1.30 cm3/g, geometric mean permeability of 4.79 µD and 17.56 µD, and net shale thickness of 54.4 m and 85.3 m, respectively. P3U4 unit (687.9–697.9 m) has high gas content and permeability, with the net shale thickness of 29.1 m. Besides the organic-rich shales, the tight non-organic-rich siltstone and shale reservoirs in package 1 (below 1430.1 m) have average gas saturation of 14% and geometric mean permeability of 1.31 µD, respectively.


Published in The APPEA Journal 2023.


<b>Citation:</b>

Wang Liuqi, Bailey Adam H. E., Grosjean Emmanuelle, Carson Chris, Carr Lidena K., Butcher Grace, Boreham Christopher J., Dewhurst Dave, Esteban Lionel, Southby Chris, Henson Paul A. (2023) Petrophysical interpretation and reservoir characterisation on Proterozoic shales in National Drilling Initiative Carrara 1, Northern Territory. <i>The APPEA Journal</i><b> 63</b>, 230-246.


https://doi.org/10.1071/AJ22049

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Identification info

Date (Creation)
2022-08-18
Date (Publication)
2023-06-22T02:29:11
Citation identifier
Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/147318

Cited responsible party
Role Organisation / Individual Name Details
Author

Wang, L.

MEG Internal Contact
Author

Bailey, A.

MEG Internal Contact
Author

Grosjean, E.

MEG Internal Contact
Author

Carson, C.

MEG Internal Contact
Author

Carr, L.

MEG Internal Contact
Author

Butcher, G.

MEG Internal Contact
Author

Boreham, C.

MEG Internal Contact
Author

Dewhurst, D.

External Contact
Author

Esteban, L.

External Contact
Author

Southby, C.

MEG Internal Contact
Author

Henson, P.

MEG Internal Contact
Publisher

CSIRO

External Contact
Name

The APPEA Journal

Issue identification

63 (S1: Proceedings)

Page

230-246

Purpose

Submission to APPEA Journal 2023

Status
Completed
Point of contact
Role Organisation / Individual Name Details
Point of contact

Commonwealth of Australia (Geoscience Australia)

Voice
Point of contact

Wang, L.

MEG Internal Contact
Spatial representation type
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  • Geoscientific information

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S
E
W


Maintenance and update frequency
As needed

Resource format

Title

Product data repository: Various Formats

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Data Store directory containing the digital product files

Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes

theme.ANZRC Fields of Research.rdf
  • EARTH SCIENCES

Place
  • NDI Carrara 1

Theme
  • Proterozoic shale

Feature type
  • porosity

Feature type
  • permeability

Feature type
  • gas content

Discipline
  • machine learning

Discipline
  • reservoir characterisation

Project
  • Exploring For The Future

Keywords
  • Published_External

Resource constraints

Title

Creative Commons Attribution 4.0 International Licence

Alternate title

CC-BY

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4.0

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https://creativecommons.org/licenses/by/4.0/

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Any

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© 2023 The Author(s) (or their employer(s)).

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Title

Australian Government Security Classification System

Edition date
2018-11-01T00:00:00
Website

https://www.protectivesecurity.gov.au/Pages/default.aspx

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Unclassified
Classification system

Australian Government Security Classification System

Language
English
Character encoding
UTF8

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Commonwealth of Australia (Geoscience Australia)

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Link to Journal

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This work is part of Exploring for the Future program. All the results have been integrated into a pdf document for The APPEA Journal.

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Title

Australian Government Security Classification System

Edition date
2018-11-01T00:00:00
Website

https://www.protectivesecurity.gov.au/Pages/default.aspx

Classification
Unclassified

Metadata

Metadata identifier
urn:uuid/d6c70e8c-d4eb-4a1f-a840-f84f999e896c

Title

GeoNetwork UUID

Language
English
Character encoding
UTF8
Contact
Role Organisation / Individual Name Details
Point of contact

Commonwealth of Australia (Geoscience Australia)

Voice
Owner

Wang, L

Internal Contact

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Document
Name

Journal Articles and Conference Papers

Alternative metadata reference

Title

Geoscience Australia - short identifier for metadata record with

uuid

Citation identifier
eCatId/147318

Metadata linkage

https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/d6c70e8c-d4eb-4a1f-a840-f84f999e896c

Metadata linkage

https://ecat.ga.gov.au/geonetwork/static/eng/catalog.search#/metadata/d6c70e8c-d4eb-4a1f-a840-f84f999e896c

Date info (Creation)
2022-10-17T07:05:12
Date info (Revision)
2022-10-17T07:05:12

Metadata standard

Title

AU/NZS ISO 19115-1:2014

Metadata standard

Title

ISO 19115-1:2014

Metadata standard

Title

ISO 19115-3

Title

Geoscience Australia Community Metadata Profile of ISO 19115-1:2014

Edition

Version 2.0, September 2018

Citation identifier
https://pid.geoscience.gov.au/dataset/ga/122551

 
 

Spatial extent

N
S
E
W


Keywords

Exploring For The Future Proterozoic shale gas content machine learning permeability porosity reservoir characterisation
theme.ANZRC Fields of Research.rdf
EARTH SCIENCES

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